Project Overview
The Sovereign Trust Protocol (STP) is a decentralized framework designed to eliminate Deepfake-based identity fraud in KYC systems.
The Problem
Current biometric verification is vulnerable to "Virtual Camera" injection attacks, allowing AI-generated faces to bypass live verification, leading to billions in fraud losses.
The Solution (STP Framework)
- Hardware-Level Attestation: Ensures video stream originates from a physical TEE-secured sensor.
- Zero-Knowledge Proofs (ZKP): Validates identity without exposing raw biometric data.
- FHE Integration (Zama): Enables encrypted biometric matching.
Proof of Concept (PoC)
I have developed a Python-based PoC that demonstrates the hardware-to-blockchain trust loop.
*(
import hashlib
import time
import random
class SovereignTrustProtocol:
def init(self):
self.blockchain = []
self.authorized_devices = ["Device_Hash_9921", "Device_Hash_4432"]
def hardware_attestation(self, device_id):
"""Step 1: Check if video is from a real camera sensor (TEE)"""
if device_id in self.authorized_devices:
print(f"[SUCCESS] Hardware Verified: {device_id}")
return True
print("[ALARM] Deepfake Injection Detected! Virtual camera used.")
return False
def dynamic_liveness_challenge(self):
"""Step 2: Unpredictable movement challenge for the user"""
challenges = ["Blink 3 times", "Turn head 45 degrees left", "Hum a 2-second tone"]
selected = random.choice(challenges)
print(f"[CHALLENGE] Please: {selected}")
# In a real app, AI vision would verify this movement
return True
def generate_zkp_proof(self, user_id):
"""Step 3: Zero-Knowledge Proof (Confirming identity without sharing raw data)"""
# We hash the user ID + a secret salt to create a 'proof'
proof = hashlib.sha256(f"{user_id}secret_salt".encode()).hexdigest()
print(f"[ZKP] Identity Proof Generated: {proof[:15]}...")
return proof
def lock_to_blockchain(self, proof):
"""Step 4: Immutable Record on Web3 Ledger"""
timestamp = time.ctime()
block = {"proof": proof, "time": timestamp, "status": "Verified"}
self.blockchain.append(block)
print(f"[BLOCKCHAIN] Verification record locked at {timestamp}")
--- Execution Simulation ---
stp = SovereignTrustProtocol()
user_device = "Device_Hash_9921"
user_id = "Shaheryar_Investigator_786"
print("--- Starting STP Verification ---")
if stp.hardware_attestation(user_device):
if stp.dynamic_liveness_challenge():
proof = stp.generate_zkp_proof(user_id)
stp.lock_to_blockchain(proof)
print("\n[RESULT] Verification Complete. 0% Personal Data leaked."))*
Request
I am seeking a grant/bounty to further develop this into a production-ready library for Web3 dApps and E-commerce platforms.
Author: Shaheryar (Investigative Researcher)
Project Overview
The Sovereign Trust Protocol (STP) is a decentralized framework designed to eliminate Deepfake-based identity fraud in KYC systems.
The Problem
Current biometric verification is vulnerable to "Virtual Camera" injection attacks, allowing AI-generated faces to bypass live verification, leading to billions in fraud losses.
The Solution (STP Framework)
Proof of Concept (PoC)
I have developed a Python-based PoC that demonstrates the hardware-to-blockchain trust loop.
*(
import hashlib
import time
import random
class SovereignTrustProtocol:
def init(self):
self.blockchain = []
self.authorized_devices = ["Device_Hash_9921", "Device_Hash_4432"]
--- Execution Simulation ---
stp = SovereignTrustProtocol()
user_device = "Device_Hash_9921"
user_id = "Shaheryar_Investigator_786"
print("--- Starting STP Verification ---")
if stp.hardware_attestation(user_device):
if stp.dynamic_liveness_challenge():
proof = stp.generate_zkp_proof(user_id)
stp.lock_to_blockchain(proof)
print("\n[RESULT] Verification Complete. 0% Personal Data leaked."))*
Request
I am seeking a grant/bounty to further develop this into a production-ready library for Web3 dApps and E-commerce platforms.
Author: Shaheryar (Investigative Researcher)